AI TRAINING
Product managers shipping AI features
Teach product managers to scope, prioritise and ship AI features that actually work.
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Run the diagnostic →What it covers
An advanced workshop for product managers building AI-powered features. We cover problem framing, evals, model choice, latency/cost trade-offs, prompt vs fine-tune vs RAG, and how to write specs for AI behaviour. Participants leave with a working PRD template, an eval set design and a launch checklist. Hands-on exercises use a real product brief brought by each participant.
What you'll be able to do
- An AI-feature PRD ready for engineering
- An initial eval set with target metrics
- A go/no-go launch checklist
Topics covered
- Problem framing for AI features
- Eval design and offline/online testing
- Prompt vs RAG vs fine-tune trade-offs
- Latency, cost and reliability budgets
- Writing specs for non-deterministic systems
Delivery
Best as two consecutive days with engineering tech leads invited to day 2.
What makes it work
- Engineering counterpart is in the room
- Real user data (sanitised) for evals
Common mistakes
- Shipping without an eval set and crossing fingers
- Treating AI features like deterministic features
When NOT to take this
Skip if your team has not yet shipped any feature to production, fundamentals first.
Providers to consider
- Altitud Consulting
- Le Wagon
Sources
Other trainings at this level
This training is part of a Data & AI catalog built for leaders serious about execution. Take the free diagnostic to see which trainings your team needs.